RESEARCH

The new technologies, particularly Large Language Models (LLMs) driven by Natural Language Processing (NLP), enable the automation of time-consuming tasks, efficient structuring of knowledge, and the development of powerful virtual assistants.


Imagine having the ability to instantly consult a personal assistant about intricate knowledge processes. With today’s advanced technology, automating these complex processes is now a reality. We have curated working research examples and use cases, particularly in compliance, regulatory, and consulting, to demonstrate how this can transform your approach to managing intricate tasks.

The following agents were all created by us and are already live.


If you click on the links below, you can test them in real-time on OpenAI already. 

on OpenAI

Industry Suggestion Assistant **

This Agent is designed to assist users across various industries by providing insightful information, guidance, and support tailored to their specific field. It should respond with accurate and relevant data, while also being adaptable to the nuances of different industry-related queries. This GPT will offer practical solutions, best practices, and innovative ideas to help users excel in their professional endeavors.

on OpenAI

Professional Whitepaper Writing Assistant **

Specialized in creating and writing professional documents (whitepapers) with creativity, in neutral language (non-competitive) and precise.

on OpenAI

Renewable Energy Consultant **

Promote renewable energy adoption, sustainability, and CO2 reduction through consulting.

on OpenAI

EU AI ACT **

Expert guide on the EU AI ACT and AI policy, offering insights and compliance advice.

on OpenAI

CBDC Insight Advisor **

Expert guide on the CBDC field, offering insights and compliance advice.

on OpenAI

XRechnung Advisor **

Expert guide on the XRechnung (invoice standard or an invoice format for e-invoicing in Germany), offering insights and compliance advice.

** CustomGPTs as Precursors to AI Agents

CustomGPTs represent a preliminary form of specialized AI agents, serving as tailored implementations of large language models (LLMs) like ChatGPT. Initially, CustomGPTs function by handling specific, narrowly defined tasks—such as compliance assistance with complex regulatory frameworks like SEPA Instant Payments or the EU AI Act. These agents use foundational models trained on extensive data, which are then further specialized through additional fine-tuning and targeted prompt engineering.

The strategic evolution from CustomGPTs to fully autonomous AI agents involves augmenting their capabilities with real-time regulatory updates, proactive compliance management features, and autonomous decision-making abilities, orchestrated within a robust technological framework. This step transforms them into mature AI agents capable of independently adapting to dynamic compliance landscapes, significantly reducing operational overhead and compliance risks for enterprises.

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